![]() ![]() | PLUM, A., Ranasinghe, T., & PURSCHKE, C. (2025). Text Generation Models for Luxembourgish with Limited Data: A Balanced Multilingual Strategy. International Conference on Computational Linguistics (COLING), 93–104. ![]() |
![]() ![]() | LUTGEN, A.-M., PLUM, A., PURSCHKE, C., & Plank, B. (2025). Neural Text Normalization for Luxembourgish Using Real-Life Variation Data. International Conference on Computational Linguistics, 115–127. ![]() |
![]() ![]() | PLUM, A., Ranasinghe, T., & PURSCHKE, C. (2024). Guided Distant Supervision for Multilingual Relation Extraction Data: Adapting to a New Language. Proceedings of LREC-COLING 2024, 7982–7992. ![]() |
![]() ![]() | PLUM, A., DÖHMER, C., MILANO, E., LUTGEN, A.-M., & PURSCHKE, C. (2024). LuxBank: The First Universal Dependency Treebank for Luxembourgish. Proceedings of the 22nd Workshop on Treebanks and Linguistic Theories (TLT 2024). ![]() |
![]() ![]() | Anuradha, I., Wynne, M., Frontini, F., & PLUM, A. (2024). Proceedings of the First Workshop on Holocaust Testimonies as Language Resources (HTRes)@ LREC-COLING 2024. Proceedings of LREC-COLING 2024. ![]() |
![]() ![]() | Ranasinghe, T., PLUM, A., PURSCHKE, C., & Zampieri, M. (2023). Publish or Hold? Automatic Comment Moderation in Luxembourgish News Articles. International conference Recent Advances in Natural Langauge Processing, 968–978. ![]() |
![]() ![]() | PLUM, A., Ranasinghe, T., Jones, S., Orasan, C., & Mitkov, R. (2022). Biographical Semi-Supervised Relation Extraction Dataset. In SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc. doi:10.1145/3477495.3531742 ![]() |
PLUM, A. (2022). Biographical Information Extraction: A Language-agnostic Methodology for Datasets and Models [Doctoral thesis, University of Wolverhampton]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/59599 |
Kunilovskaya, M., & PLUM, A. (2021). Text Preprocessing and its Implications in a Digital Humanities Project. Proceedings of RANLP, 85–93. ![]() |
Kunilovskaya, M., Kutuzov, A., & PLUM, A. (2020). Taxonomy Enrichment: Linear Hyponym-Hypernym Projection vs Synset ID Classification. Computational linguistics and intellectual technologies: Papers from the annual conference “dialogue, 474–484. ![]() |
Ranasinghe, T., PLUM, A., Orasan, C., & Mitkov, R. (2020). RGCL at SemEval-2020 Task 6: Neural Approaches to Definition Extraction. Proceedings of SemEval. ![]() |
![]() ![]() | PLUM, A., Ranasinghe, T., Orasan, C., & Mitkov, R. (2019). RGCL at GermEval 2019: Offensive Language Detection with Deep Learning. KONVENS. ![]() |
![]() ![]() | Ranasinghe, T., Saadany, H., PLUM, A., Mandhari, S., Mohamed, E., Orasan, C., & Mitkov, R. (2019). RGCL at IDAT: Deep Learning models for Irony Detection in Arabic Language. Forum for Information Retrieval Evaluation 2019 (Working Notes). ![]() |
PLUM, A., Ranasinghe, T., Calleja, P., Orasan, C., & Mitkov, R. (2019). RGCL-WLV at SemEval-2019 Task 12: Toponym Detection. Proceedings of SemEval, 1297–1301. ![]() |
PLUM, A., Zampieri, M., Orasan, C., Wandl-Vogt, E., & Mitkov, R. (2019). Large-scale Data Harvesting for Biographical Data. Proceedings of BD 2019. ![]() |
PLUM, A., Ranasinghe, T., & Orăsan, C. (2019). Toponym Detection in the Bio-Medical Domain: A Hybrid Approach with Deep Learning. Proceedings of RANLP, 912–921. ![]() |